Zobrazeno 1 - 10
of 46 901
pro vyhledávání: '"P, Hossain"'
Autor:
Nafi, Abdullah al Nomaan, Hossain, Md. Alamgir, Rifat, Rakib Hossain, Zaman, Md Mahabub Uz, Ahsan, Md Manjurul, Raman, Shivakumar
Data scarcity in medical imaging poses significant challenges due to privacy concerns. Diffusion models, a recent generative modeling technique, offer a potential solution by generating synthetic and realistic data. However, questions remain about th
Externí odkaz:
http://arxiv.org/abs/2412.16860
Autor:
Islam, S M Jishanul, Mustakim, Sahid Hossain, Ahmmed, Sadia, Sayeedi, Md. Faiyaz Abdullah, Khandoker, Swapnil, Dhrubo, Syed Tasdid Azam, Hossain, Nahid
Anti-Muslim hate speech has emerged within memes, characterized by context-dependent and rhetorical messages using text and images that seemingly mimic humor but convey Islamophobic sentiments. This work presents a novel dataset and proposes a classi
Externí odkaz:
http://arxiv.org/abs/2412.00681
Autor:
Adnan, S M Rafee, Hasan, Muhammad Jobair, Imtiaz, Ahmad Al, Robin, Sulyman H., Shwadhin, Fahim R., Shajib, Anowar J., Nahid, Mamun Hossain, Tanver, Mehedi Hasan, Akter, Tanjela, Jahan, Nusrath, Jafar, Zareef, Rashid, Mamunur, Biswas, Anik, Chowdhury, Akbar Ahmed, Feardous, Jannatul, Rahaman, Ajmi, Ridwan, Masuk, Sharma, Rahul D., Chowdhury, Zannat, Hossain, Mir Sazzat
Strong lensing directly probes the internal structure of the lensing galaxies. In this paper, we investigate the relation between the internal structure of massive elliptical galaxies and their environment using a sample of 15 strong lensing systems.
Externí odkaz:
http://arxiv.org/abs/2412.00361
Autor:
Morshed, Abrar, Shihab, Abdulla Al, Jahin, Md Abrar, Nahian, Md Jaber Al, Sarker, Md Murad Hossain, Wadud, Md Sharjis Ibne, Uddin, Mohammad Istiaq, Siraji, Muntequa Imtiaz, Anjum, Nafisa, Shristy, Sumiya Rajjab, Rahman, Tanvin, Khatun, Mahmuda, Dewan, Md Rubel, Hossain, Mosaddeq, Sultana, Razia, Chakma, Ripel, Emon, Sonet Barua, Islam, Towhidul, Hussain, Mohammad Arafat
The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings for
Externí odkaz:
http://arxiv.org/abs/2411.05029
Autor:
Miah, Abu Saleh Musa, Tusher, Md Mahbubur Rahman, Hossain, Md. Moazzem, Hossain, Md Mamun, Rahim, Md Abdur, Hamid, Md Ekramul, Islam, Md. Saiful, Shin, Jungpil
In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI, ChatGPT is a powerful language model that presents numerous opportunit
Externí odkaz:
http://arxiv.org/abs/2411.02816
Autor:
Naher, M. I., Montasir, M., Khan, M. Y. H., Ali, M. A., Hossain, M. M., Uddin, M. M., Hasan, M. Z., Hadi, M. A., Naqib, S. H.
The physical properties and their pressure dependence of recently synthesized Ti2AlX (X = B, C, and N) MAX phases are investigated for the very first time applying density functional theory (DFT).
Externí odkaz:
http://arxiv.org/abs/2412.19431
Autor:
Ahamed, Molla Basir, Hossain, Rajesh
The primary objective of this paper is to derive sharp bounds for the norms of the Schwarzian and pre-Schwarzian derivatives in the Ozaki close-to-convex functions $f$, expressed in terms of their value $f^{\prime\prime}(0)$, in particular, when the
Externí odkaz:
http://arxiv.org/abs/2412.18284
Autor:
Benjamin, Daniel M., Morstatter, Fred, Abbas, Ali E., Abeliuk, Andres, Atanasov, Pavel, Bennett, Stephen, Beger, Andreas, Birari, Saurabh, Budescu, David V., Catasta, Michele, Ferrara, Emilio, Haravitch, Lucas, Himmelstein, Mark, Hossain, KSM Tozammel, Huang, Yuzhong, Jin, Woojeong, Joseph, Regina, Leskovec, Jure, Matsui, Akira, Mirtaheri, Mehrnoosh, Ren, Xiang, Satyukov, Gleb, Sethi, Rajiv, Singh, Amandeep, Sosic, Rok, Steyvers, Mark, Szekely, Pedro A, Ward, Michael D., Galstyan, Aram
Publikováno v:
AI Magazine, Volume 44, Issue 1, Pages 112-128, Spring 2023
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we developed SAGE, a hybrid forecasting system that combines human and machin
Externí odkaz:
http://arxiv.org/abs/2412.10981
Quantum Support Vector Machine is a kernel-based approach to classification problems. We study the applicability of quantum kernels to financial data, specifically our self-curated Dhaka Stock Exchange (DSEx) Broad Index dataset. To the best of our k
Externí odkaz:
http://arxiv.org/abs/2412.10860
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis
Autor:
Arifuzzaman, Md., Ahmed, Iftekhar, Chowdhury, Md. Jalal Uddin, Sakib, Shadman, Rahman, Mohammad Shoaib, Hossain, Md. Ebrahim, Absar, Shakib
Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Given its perva
Externí odkaz:
http://arxiv.org/abs/2412.09472